| Counting everyday objects in everyday scenes P Chattopadhyay, R Vedantam, RR Selvaraju, D Batra, D Parikh Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 133 | 2017 |
| Learning to balance specificity and invariance for in and out of domain generalization P Chattopadhyay, Y Balaji, J Hoffman Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 101 | 2020 |
| Evaluating visual conversational agents via cooperative human-ai games P Chattopadhyay, D Yadav, V Prabhu, A Chandrasekaran, A Das, S Lee, ... Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 5 …, 2017 | 79 | 2017 |
| Do explanations make VQA models more predictable to a human? A Chandrasekaran, V Prabhu, D Yadav, P Chattopadhyay, D Parikh arXiv preprint arXiv:1810.12366, 2018 | 70 | 2018 |
| It takes two to tango: Towards theory of AI's mind A Chandrasekaran, D Yadav, P Chattopadhyay, V Prabhu, D Parikh arXiv preprint arXiv:1704.00717, 2017 | 59 | 2017 |
| Choose your neuron: Incorporating domain knowledge through neuron-importance RR Selvaraju, P Chattopadhyay, M Elhoseiny, T Sharma, D Batra, ... Proceedings of the European conference on computer vision (ECCV), 526-541, 2018 | 41 | 2018 |
| Evalai: Towards better evaluation systems for ai agents D Yadav, R Jain, H Agrawal, P Chattopadhyay, T Singh, A Jain, SB Singh, ... arXiv preprint arXiv:1902.03570, 2019 | 35 | 2019 |
| Improving generative visual dialog by answering diverse questions V Murahari, P Chattopadhyay, D Batra, D Parikh, A Das arXiv preprint arXiv:1909.10470, 2019 | 26 | 2019 |
| Robustnav: Towards benchmarking robustness in embodied navigation P Chattopadhyay, J Hoffman, R Mottaghi, A Kembhavi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 16 | 2021 |
| IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL N Modhe, P Chattopadhyay, M Sharma, A Das, D Parikh, D Batra, ... | 3* | 2020 |
| PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization P Chattopadhyay, K Sarangmath, V Vijaykumar, J Hoffman arXiv preprint arXiv:2212.00979, 2022 | | 2022 |
| Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses F Lin, R Mittapalli, P Chattopadhyay, D Bolya, J Hoffman Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | | 2020 |
| Augmentation Curriculum Learning For Generalization in RL D Yung, A Szot, P Chattopadhyay, J Hoffman, Z Kira | | |
| Proportional Amplitude Spectrum Training Augmentation for Synthetic-to-Real Domain Generalization P Chattopadhyay, K Sarangmath, V Vijaykumar, J Hoffman | | |
| Exploring Weak-Supervision and Generative Models for Semantic Segmentation P Chattopadhyay, R Selvaraju, V Prabhu | | |
| UNSUPERVISED DISCOVERY OF DECISION STATES THROUGH INTRINSIC CONTROL N Modhe, M Sharma, P Chattopadhyay, A Das, D Parikh, D Batra, ... | | |
| Delhi Technological University: Design and Development of the Littoral AUV Zyra 2.0 A Gupta, V Rustagi, RK Saini, A Jain, P Murgai, A Rastogi, P Goswami, ... | | |
Devi ParikhGeorgia Tech, Facebook AI Research在 gatech.edu 的电子邮件经过验证
